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When network resources (cache space and link bandwidth) are constraints, acceptance ratio can be improved significantly by combining video partitioning with SBS or DBS.
Specifically, by preserving the relevant information with respect to these feature variables maximally, the MvIB method is able to integrate various aspects of semantic information into the final video partitioning results, and thus captures the complementary information resided in multiple feature variables.
Video partitioning or segmentation has been reviewed in [20].
Table 8 Comparative results with other video partitioning algorithms.
Table 5 Effectiveness of MERVs for non-adaptive video partitioning.
The second contribution is on adaptive video partitioning.
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Testing video Partition number Lane1 Lane2 Lane3 Lane4 (vehicles) (vehicles) (vehicles) (vehicles) Video1 6 102 189 116 89 Video2 13 464 505 373 261 Video3 2 58 75 — — Figure 32 Scenes of videos for vehicle counting.
Method 6 describes another possible enhancement when the link adaptation scheme can be customized according to the video partition information.
In fact, if only partial guarantee is available due to multirate operation or VBR characteristics of the video, partition A and IDR frames have absolute priority over partition B and C packets in using CAPS enabled guaranteed services.
If partial throughput guarantee is available for the entire video, partition A flows are given priority in using the guaranteed throughput and partitions B and C have to use lower-guaranteed bitrate and rely on EDCA if enough guaranteed resources are not available.
We note that the problem of video shot partitioning (or segmentation) is not only relevant to video indexing and video data management.
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